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The School of Aquatic and Fishery Sciences (SAFS) is dedicated to sustaining healthy marine and freshwater environments. Our school comprises one of the largest and most diverse academic aquatic and fisheries sciences program in the United States. Our faculty conduct innovative research from the organism to the ecosystem scale, and are recognized leaders in aquatic biology, sustainable fisheries management, and aquatic resource conservation.
The School of Aquatic and Fishery Sciences values the strengths and professional experience that students, faculty, and staff bring to our community. We are committed to providing excellent education to all of our students, regardless of their race, gender, class, nationality, physical ability, religion, age, or sexual orientation. We are proud of the different roles that our students, staff, and faculty play in the community of the School and in the College of the Environment. We recognize that science is richer and the SAFS community is more vibrant when a diverse group of people participate the SAFS community.
The postdoctoral researcher will play a central role in the interdisciplinary project, "Alaska Climate Integrated Modeling Project Phase 2 (ACLIM-2): next generation coupled modeling to support climate resilience in the Bering Sea social-ecological system." Fishing communities and fleets rely on diverse natural resources and markets and may be able to adapt to these changes, but complex interactions among ecological responses, social and economic conditions, and management measures can shape adaptive potential. Impacts may be disproportionate among fleets and individuals with divergent vulnerabilities. Fishing in the Bering Sea involves a dynamic process of targeting some species and avoiding others and adjusting targeting behavior in light of changes experienced within a given year. Along with shifting (overlapping) distributions, significant management measures impact the fleets' ability to catch allocated quotas. In previous work (ACLIM-1), management strategy evaluations (MSEs) revealed important management-induced stabilizing dynamics for pollock and other groundfish fisheries, as well as limits and tipping points in catch (around mid-century). The spatial complexity of biological modeling efforts in ACLIM-2 will significantly expand MSEs of new climate-informed management options (such as climate-informed control rules, spatial management measures, alternative catch share and bycatch reduction incentive systems, alternative seasonal and area closures, etc.) to include realistic spatial fisheries models, enabling translation of spatial patterns of harvest and benefits to communities.
Ongoing economic modeling and data integration projects will provide a unique opportunity for evaluating the relationship between ecosystem conditions, future climate change, management, and the impacts on fishing vessels and communities. As well as working with an experienced interdisciplinary team with members from NOAA's Alaska Fisheries Science Center (AFSC), the University of Washington, and NOAA's Pacific Marine Environmental Lab, the modeler will join the AFSC Economic and Social Sciences Research Program which is a leading marine resource social science research group. The work will also contribute to international comparison projects that will be at the forefront of developing marine resource management that is as resilient as possible to a changing environment.
This a full-time, position located at the University of Washington in Seattle, although the location at which work is to be conducted is flexible, and remote work is possible. The post-doc will be supervised by Dr. André Punt (University of Washington) and will primarily collaborate with Dr. Alan Haynie (Alaska Fisheries Science Center). This a full-time, position located at the University of Washington in Seattle. This is a 12-moth initial appointment, with the possibility of renewal.
Postdoctoral scholars are represented by UAW 4121 and are subject to the collective bargaining agreement, unless agreed exclusion criteria apply. For more information, please visit the University of Washington Labor Relations website.
Building fleet dynamics models for different fleets in the Bering Sea and contributing to modeling methods in the Spatial Economics Toolbox for Fisheries (FishSET);
Integrating economics, fisheries, and environmental datasets of use in fleet dynamics and coupled models;
Coordinating the socioeconomic scenarios utilized in ACLIM 2.0 with those utilized in similar projects around the world;
Linking a series of models in the multi-model ecosystem ensemble to regional economic models; and
Preparing results, collaborating on, and leading writing efforts for peer-reviewed publications and presentations at scientific conferences.
PhD or foreign equivalent in economics or a related field.
Experience with spatial modeling, ArcGIS or other geographic information system (GIS) software.
Proficiency in programming languages such as R, and/or related applications.
Superior written and oral communication skills.
Ability to work and write in a collaborative setting.
Demonstrated interest in interdisciplinary and/or climate-related research.
Experience working with and integrating large datasets, including fisheries data.
Knowledge of fishery management processes, especially in the North Pacific.
To apply please submit your application through Interfolio with the following: (1) A letter of interest detailing your skills and experience. (2) A curriculum-vitae including publications. (3) Three letters of recommendation. Priority will be given to applications received by January 31, 2021
For questions about this position, including potential disability accommodations, please contact Katie Effert, at firstname.lastname@example.org or 206-685-6083.
University of Washington is an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, marital status, pregnancy, genetic information, gender identity or expression, age, disability, or protected veteran status.
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